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Last reviewed 2025-05-02 UTC
The Architecture Center provides content resources across a wide variety of
big data and analytics subjects.
The documents that are listed in the "Big data and analytics" section of the
left navigation can help you make decisions about managing big data and
analytics.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-05-02 UTC."],[[["\u003cp\u003eThe Architecture Center offers a wide range of resources on big data and analytics topics.\u003c/p\u003e\n"],["\u003cp\u003eContent can be filtered by product name or phrases found in the title or description of the resource.\u003c/p\u003e\n"],["\u003cp\u003eResources cover topics such as data mesh implementation, building analytics solutions, data migration, data security, and data warehousing.\u003c/p\u003e\n"],["\u003cp\u003eMany of the resources leverage Google Cloud products like BigQuery, Dataflow, Cloud Storage, and various others for tasks like data processing, storage, and analysis.\u003c/p\u003e\n"],["\u003cp\u003eGuides are available for various complex tasks, including migrating from on-premise Hadoop infrastructure to Google Cloud, setting up geospatial analytics, or de-identifying data.\u003c/p\u003e\n"]]],[],null,[]]
